Over the past several years, the MIT CCR have recognized an increasing need to provide its investigators with additional computing support. This need is driven by: (1) The increased reliance on localized computers and computer software for the research applications of individual CCR laboratories and for the generation, back-up and analysis of data generated by state of the art instrumentation, including microscopes, cell sorters and mass spectrometers, within our core facilities;(2) The increased importance of skilled bioinformatics and statistical analysis to mine data from genomic databases and complex data sets from microarray experiments;and (3) The increased requirement for high-performance computing and advanced data storage systems that will allow storage and shared access to large data sets, software programs and computational power. To address each of these goals, we have developed a Bioinformatics and Computing Core Facility that includes three distinct components. (1) A full-time Computing Support Specialist dedicated to supporting computers and computer software that contributes the research efforts of researchers and CCR Core Facilities. (2) Two full-time Bioinformatic Specialists with expertise in the areas of genome sequence and microarray data analysis will provide CCR researchers with bioinformatics and statistical support and training for cancer-related research projects. They will also introduce CCR researchers to computational services, training courses and potential collaborators at CSBi and the Broad Institute. (3) To provide CCR researchers with access to advanced data storage systems, increased networking capabilities, cutting-edge software programs and high-performance computing, the CCR contributes to the MIT-wide program, Computational and Systems Biology Institute (CSBi), whose overall goal is provide a technology platform that supports computational and systems biology on campus. Together, this three-tiered approach provides CCR researchers a highly effective range of computing services in a very cost effective and space-efficient manner.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA014051-38
Application #
7849618
Study Section
Project Start
Project End
Budget Start
2009-05-01
Budget End
2010-04-30
Support Year
38
Fiscal Year
2009
Total Cost
$374,160
Indirect Cost
Name
Massachusetts Institute of Technology
Department
Type
DUNS #
001425594
City
Cambridge
State
MA
Country
United States
Zip Code
02139
Ramadi, Khalil B; Dagdeviren, Canan; Spencer, Kevin C et al. (2018) Focal, remote-controlled, chronic chemical modulation of brain microstructures. Proc Natl Acad Sci U S A 115:7254-7259
Tam, Brooke E; Hao, Yining; Sikes, Hadley D (2018) An examination of critical parameters in hybridization-based epigenotyping using magnetic microparticles. Biotechnol Prog 34:1589-1595
Sabari, Benjamin R; Dall'Agnese, Alessandra; Boija, Ann et al. (2018) Coactivator condensation at super-enhancers links phase separation and gene control. Science 361:
Knouse, Kristin A; Lopez, Kristina E; Bachofner, Marc et al. (2018) Chromosome Segregation Fidelity in Epithelia Requires Tissue Architecture. Cell 175:200-211.e13
Fiedler, Eleanor R C; Bhutkar, Arjun; Lawler, Emily et al. (2018) In vivo RNAi screening identifies Pafah1b3 as a target for combination therapy with TKIs in BCR-ABL1 + BCP-ALL. Blood Adv 2:1229-1242
Clancy-Thompson, Eleanor; Devlin, Christine A; Tyler, Paul M et al. (2018) Altered Binding of Tumor Antigenic Peptides to MHC Class I Affects CD8+ T Cell-Effector Responses. Cancer Immunol Res 6:1524-1536
Miller, Eric A; Baniya, Subha; Osorio, Daniel et al. (2018) Paper-based diagnostics in the antigen-depletion regime: High-density immobilization of rcSso7d-cellulose-binding domain fusion proteins for efficient target capture. Biosens Bioelectron 102:456-463
Sullivan, Lucas B; Luengo, Alba; Danai, Laura V et al. (2018) Aspartate is an endogenous metabolic limitation for tumour growth. Nat Cell Biol 20:782-788
Filbin, Mariella G; Tirosh, Itay; Hovestadt, Volker et al. (2018) Developmental and oncogenic programs in H3K27M gliomas dissected by single-cell RNA-seq. Science 360:331-335
Lannagan, Tamsin R M; Lee, Young K; Wang, Tongtong et al. (2018) Genetic editing of colonic organoids provides a molecularly distinct and orthotopic preclinical model of serrated carcinogenesis. Gut :

Showing the most recent 10 out of 904 publications